Energy Harvesting Analysis and Scenarios

Analyze harvested energy, load demand, storage reserve, seasonal margin, and field economics.

animation
energy
harvesting
storage
power-budget
design
intermediate
A learner-ready energy harvesting analysis animation with source presets, storage simulation, autonomy checks, ROI estimate, and technical accuracy notes.
Animation Intermediate with ramp Energy harvesting Storage analysis

Energy Harvesting Analysis

Energy harvesting only works when harvested energy, storage reserve, and load demand stay balanced under real weather and operating conditions. Use the presets, then stress the assumptions.

+54 mWh/day Daily energy balance
1.8x Harvest divided by load
62% Lowest simulated storage
2.4 yr Simple break-even estimate

1. Choose a scenario

Start with solar, vibration, thermal, RF, or hybrid assumptions close to your use case.

2. Check the energy day

The first chart compares harvested energy by source with the device load.

3. Watch storage

The second chart shows whether storage falls below the critical reserve line.

4. Stress the field case

Reduce weather, raise load, or demand more autonomy before accepting the design.

1

Sources

Estimate solar, vibration, thermal, RF, or hybrid harvested power.

2

Load

Convert average device power into daily energy consumption.

3

Balance

Compare daily harvested energy with daily load and required margin.

4

Storage

Simulate hourly charge and discharge against a critical reserve.

5

Season

Derate for weather, winter daylight, downtime, and conversion losses.

6

Economics

Compare harvester cost with battery replacement and truck-roll cost.

Animated energy balance and storage reserve

Outdoor solar nodes can work well, but winter and cloudy days decide the storage requirement.

Daily harvested energy balance Stacked harvested energy bars compared with the daily load requirement and required margin. Solar parking sensor Harvested energy is derated before being compared with load. mWh/day load margin Dominant source solar Design status self-sufficient min store 62% Seven-day storage simulation Storage state of charge over seven days with critical reserve threshold. Storage state of charge Hourly source profile over seven simulated days. critical reserve
solar vibration thermal RF load

Analysis diagnosis

The design has positive daily balance, but storage reserve and seasonal derating still decide reliability.

Energy balance

Self-sufficient

Harvested energy exceeds daily load plus margin.

Storage reserve

62%

Storage remains above the critical reserve line.

Autonomy

6.3 d

Storage can cover the target dark or idle period.

Economics

2.4 yr

Simple break-even is within likely deployment life.

daily_harvest_mWh = sum(source_power_mW x active_hours x derating)
Quick Reference

Formula Daily harvest

mWh/day = source power in mW x useful hours per day x derating x conversion efficiency.

Formula Daily load

mWh/day = average load in mW x 24 hours. Use measured average power when available.

Formula Margin

Margin ratio = daily harvest / daily load. Practical designs usually need more than 1.0x.

Storage Autonomy

Autonomy days = usable storage mWh / daily load mWh. This covers dark days or source downtime.

Reserve Critical line

Storage below the reserve line risks brownout, poor regulator behavior, or battery/capacitor damage.

Reality Derate first

Weather, dirt, alignment, vibration duty, and thermal gradient changes should be included before claiming reliability.

Source Selection Notes

Solar Strong but seasonal

Solar has high energy density outdoors. The weak case is winter, shade, dirt, orientation, or indoor light.

Vibration Site-specific

Vibration harvesting works only when the machine frequency, mounting, and operating hours are predictable.

Thermal Needs gradient

Thermoelectric harvesters need a sustained temperature difference and a thermal path that does not collapse.

RF Very low power

Ambient RF is usually useful for ultra-low-power trickle applications, not for frequent radio transmissions.

Hybrid More resilient

Combining sources can reduce seasonal or operational risk, but adds cost, power-management complexity, and test burden.

Storage Match chemistry

Supercapacitors, rechargeable cells, and primary cells have different leakage, lifetime, temperature, and safety constraints.

Technical Accuracy Notes

Equivalent sun hours are simplified

The model compresses a day into equivalent full-power hours. Real solar data is location, tilt, season, and weather dependent.

Hourly profile is illustrative

The seven-day graph is a learning model, not a weather file or machine-use history. Validate with field data for design claims.

Storage has losses

Self-discharge, regulator quiescent current, charge efficiency, leakage, and temperature reduce usable storage.

Average load hides bursts

Energy balance can be positive while peak current still causes brownout. Check radio burst current and storage ESR separately.

Break-even is approximate

ROI depends on maintenance access, battery cost, labor, downtime, failure cost, and whether the harvester changes enclosure design.

Use measured power

Bench measurements over complete duty cycles are more reliable than data-sheet current values alone.

Practice 1

Lower weather factor until the solar node crosses the critical reserve. What storage would recover it?

Practice 2

Switch to vibration and reduce operating hours. Notice why site knowledge matters more than nominal power.

Practice 3

Increase average load and required margin. Decide whether harvesting, storage, or load reduction is the better fix.